Citrus vein phloem degeneration detection and classification method based on D-S theory through multi-source data fusion
A technology of citrus huanglongbing and multi-source data, applied in the field of detection and classification of citrus huanglongbing based on multi-source data fusion based on D-S theory, citrus huanglongbing detection and classification, can solve the problems of difficult observation, difficult to promote, and expensive electron microscope equipment
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Embodiment 1
[0050] like figure 1 As shown, the multi-source data fusion citrus Huanglongbing detection and classification method of the present embodiment comprises the following steps:
[0051] 1) Using the hyperspectral image acquisition platform, the visible spectrum image acquisition platform and the fluorescence spectrum image acquisition platform to collect the image information of the citrus leaf samples, classify the symptoms of Huanglongbing disease on the image information collected by each spectrum, and obtain each of the three spectrums. The recognition rate of similar symptoms, specifically:
[0052] The hyperspectral image acquisition platform such as figure 2 As shown, it includes a sample stage 1, an ultraviolet light source 2, a hyperspectral imager 3, a CCD camera 4 and a computer 5. Through the irradiation of the ultraviolet light source 2, the hyperspectral imager 3 and the CCD camera 4 are used to collect the citrus leaves on the sample stage 1. Sample image inform...
Embodiment 2
[0083] According to the method of Example 1 above, and for the convenience of testing, the classification of symptoms of Huanglongbing by hyperspectral, visible spectrum and fluorescence spectrum is uniformly divided into obvious symptoms, mild symptoms, zinc deficiency, healthy and yellowing, and obtain symptoms with obvious symptoms. For citrus leaf samples, the recognition rate obtained by each spectrum and the comprehensive recognition rate obtained by fusing the recognition rates of the three spectra are shown in Table 1 below.
[0084]
obvious symptoms
Zinc deficiency
healthy
yellowing
Hyperspectral
0.9000
0
0
0.1000
0
visible spectrum
0.9000
0
0.1000
0
0
Fluorescence spectrum
0.8000
0
0.2000
0
0
fusion
0.998564
0.000000
0.001436
0.000000
0.000000
[0085] Table 1. Recognition rates of hyperspectral, visible and fl...
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